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中文摘要：
案例是对以往经验的知识表达,它是组织保存隐性知识的一种重要形式,从案例中挖掘隐性知识是知识管理的重要内容。案例表达是案例挖掘的首要和关键环节。本文提出了一种基于本体的案例表达模型,它能够基于本体中通用词汇和概念间多种关系对案例进行准确地描述和清晰地组织,且具有较高的扩展性和灵活性。为了提高案例中隐性知识的挖掘效率,提出了谓词路径图的概念和相关理论,以及基于谓词路径图的多维关联规则挖掘算法Ex-Apriori,该算法只需一遍扫描案例库。最后,通过构建一个小型手机维修案例库,验证了该方法的有效性。
英文摘要：
Cases contain a great deal of past experience,and they are an important means to preserve tacit knowledge for organizations.It＇s one of important task of knowledge management for mining tacit knowledge from cases.Representation of case is basic and key stage.A representation model of case based on ontology is proposed,and it can describe the case exactly, organize cases clearly,and is flexible to represent all kinds of cases.In order to improve the efficiency of mining tacit knowledge from cases,the concept and related theories of predicate road graph are proposed,and an algorithm based on predicate road graph is put forward for mining multiple dimension association rules from cases,and it needs to traverse case base only once.An example of mobile maintenance testifies that this method is effective.
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